A Systematic Review of the Impact of Artificial Intelligence on Second Language Willingness to Communicate Among EFL Learners

Chen  Yang

doi:10.54691/0fyt3r77

Authors

Chen Yang

DOI:

https://doi.org/10.54691/0fyt3r77

Keywords:

Second Language Willingness to Communicate; Artificial Intelligence; Foreign Language Learning; Mediating Mechanism; Moderating Factor.

Abstract

Against the background of globalization and digital integration, artificial intelligence (AI) provides a new approach to improving second language willingness to communicate (WTC). Following the PRISMA guidelines, this study screened 31 empirical studies and analyzed the influence of AI on EFL learners’ WTC from research trends, mediating mechanisms and moderating factors. Research has grown rapidly since 2020, focusing on East Asian university students with interdisciplinary theories and mixed methods. AI enhances WTC through affective and cognitive pathways: it reduces anxiety and builds confidence by creating a low-threat environment, and promotes growth mindset, AI literacy and instrumental cognition. The two pathways function synergistically. Effects are moderated by individual and contextual variables. Learners with lower proficiency and higher technology agency benefit more. Embodied tools, simple interaction scenarios and teacher-student-AI collaboration are more effective. This study suggests differentiated AI strategies, emphasizing teachers’ role in human-AI cooperation, cultivating learners’ technological agency and positive psychology, and addressing ethics and equity. Limitations lie in relatively concentrated participants and contexts. Future research should expand samples and settings, adopt longitudinal designs to verify causality, and explore dynamic mechanisms with AI development.

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References

[1] Cheng, L., & Xu, J. P. (2022). Chinese English as a Foreign Language Learners’ Individual Differences and Their Willingness to Communicate. Frontiers in Psychology, 13, Article 883664. https://doi.org/10.3389/fpsyg.2022.883664 DOI: https://doi.org/10.3389/fpsyg.2022.883664

[2] Cui, Z., Yang, H., & Xu, H. (2025). The Effects of Interaction Scenarios on EFL Learners’ Technology Acceptance and Willingness to Communicate with AI. Behavioral Sciences, 15(10), Article 1391. https://doi.org/10.3390/bs15101391 DOI: https://doi.org/10.3390/bs15101391

[3] Dewaele, J. M. (2019). The Effect of Classroom Emotions, Attitudes Toward English, and Teacher Behavior on Willingness to Communicate Among English Foreign Language Learners. Journal of Language and Social Psychology, 38(4), 523-535, Article 0261927x19864996. https:// doi.org/ 10.1177/0261927X19864996 DOI: https://doi.org/10.1177/0261927X19864996

[4] Fathi, J., Rahimi, M., & Derakhshan, A. (2024). Improving EFL learners' speaking skills and willingness to communicate via artificial intelligence-mediated interactions. System, 121, Article 103254. https://doi.org/10.1016/j.system.2024.103254 DOI: https://doi.org/10.1016/j.system.2024.103254

[5] Ge, N., & Zheng, C. P. (2025). A systematic review of intelligent chatbot-supported oral English teaching. Foreign Language Education, 46, 56–63. https://doi.org/10.16362/j.cnki.cn61-1023/h.2025.03.013

[6] Guan, L. H., Zhang, Y., & Gu, M. M. (2025). Future Changes in Teachers' Professional Roles Under the Impact of Artificial Intelligence: A Study in English as a Foreign Language Education. IEEE Transactions on Learning Technologies, 18, 1062-1073. https://doi.org/ 10.1109/ TLT. 2025.3624050 DOI: https://doi.org/10.1109/TLT.2025.3624050

[7] Huang, Y., Chen, H., & Hu, C. (2025). L2 growth mindset in AI-mediated language learning: effects of perceived usability and presence of generative AI chatbots [Original Research]. Frontiers in Psychology, Volume 16 - 2025. https://doi.org/10.3389/fpsyg.2025.1700117 DOI: https://doi.org/10.3389/fpsyg.2025.1700117

[8] Jiang, H., & Chen, Y. (2025). Exploring the Impact of Affective Factors and AI-Assisted Spoken English Practice on L2 Willingness to Communicate. The Asia-Pacific Education Researcher. https://doi.org/10.1007/s40299-025-01050-5 DOI: https://doi.org/10.1007/s40299-025-01050-5

[9] Jiang, S., & Dong, X. M. (2026). The influence path of critical thinking tendency and sociocultural well-being on second language willingness to communicate. Foreign Language Research, 43(1), 68–73+113. https://doi.org/10.13978/j.cnki.wyyj.2026.01.008

[10] Liu, H. G., & Fan, J. Q. (2025). AI-Mediated Communication in EFL Classrooms: The Role of Technical and Pedagogical Stimuli and the Mediating Effects of AI Literacy and Enjoyment. European Journal of Education, 60(1). https://doi.org/10.1111/ejed.12813 DOI: https://doi.org/10.1111/ejed.12813

[11] Liu, H. Y., Lv, C. W., & Chen, J. L. (2025). Willingness to communicate and anxiety in human-human and human-chatbot interaction contexts: an idiodynamic investigation. Innovation in Language Learning and Teaching, 1–25. https://doi.org/10.1080/17501229.2025.2560101 DOI: https://doi.org/10.1080/17501229.2025.2560101

[12] Liu, Y. Y., & Shi, Y. (2023). A meta-analysis of the effects of second language communicative confidence and classroom environment on second language willingness to communicate. Foreign Language Education, 23, 79–89.

[13] Lou, Y., Li, C. C., & Zhao, H. Y. (2024). A meta-analysis of the relationship between second language willingness to communicate and second language anxiety. Contemporary Foreign Languages Studies, 150–160+190.

[14] MacIntyre, P. D., & Charos, C. (1996). Personality, attitudes, and affect as predictors of second language communication. Journal of Language and Social Psychology, 15(1), 3-26. https://doi.org/10.1177/0261927X960151001 DOI: https://doi.org/10.1177/0261927X960151001

[15] MacIntyre, P. D., Dörnyei, Z., Clément, R., & Noels, K. A. (1998). Conceptualizing Willingness to Communicate in a L2: A Situational Model of L2 Confidence and Affiliation. The Modern Language Journal, 82(4), 545-562. https://doi.org/10.2307/330224 DOI: https://doi.org/10.1111/j.1540-4781.1998.tb05543.x

[16] McCroskey, J. C., & Baer, J. E. (1985). Willingness to Communicate: The Construct and Its Measurement Annual Meeting of the Speech Communication Association, Denver, CO, USA.

[17] Mei, A. X. (2025). The transformation of language learning with the introduction of generative AI: a pathway analysis from AI affinity to language expression confidence. Interactive Learning Environments, 1–14. https://doi.org/10.1080/10494820.2025.2577122 DOI: https://doi.org/10.1080/10494820.2025.2577122

[18] Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Bmj, 372, n71. https://doi.org/10.1136/bmj.n71 DOI: https://doi.org/10.1136/bmj.n71

[19] Peng, J. E., & Liang, W. J. (2025). Willingness to communicate with artificial intelligence (AI)? insights from tracking EFL learners’ perceived acceptance and chat output. Computer Assisted Language Learning, 1–27. https://doi.org/10.1080/09588221.2025.2486147 DOI: https://doi.org/10.1080/09588221.2025.2486147

[20] Peng, J.-E., & Woodrow, L. (2010). Willingness to Communicate in English: A Model in the Chinese EFL Classroom Context. Language Learning, 60(4), 834-876. https://doi.org/https: //doi.org/ 10.1111/j.1467-9922.2010.00576.x DOI: https://doi.org/10.1111/j.1467-9922.2010.00576.x

[21] Tai, T. Y., Chen, H. H. J., & Todd, G. (2020). The impact of a virtual reality app on adolescent EFL learners' vocabulary learning. Computer Assisted Language Learning, 35(4), 892-917. https://doi.org/10.1080/09588221.2020.1752735 DOI: https://doi.org/10.1080/09588221.2020.1752735

[22] Tang, J. (2026). AI-assisted speaking affordances, flow experience, and willingness to communicate: A moderated mediation model. System, 138, Article 103986. https://doi.org/ 10.1016/j.system. 2026.103986 DOI: https://doi.org/10.1016/j.system.2026.103986

[23] Wang, C. H., Li, X. Y., & Zou, B. (2025). Revisiting Integrated Model of Technology Acceptance Among the Generative AI-Powered Foreign Language Speaking Practice: Through the Lens of Positive Psychology and Intrinsic Motivation. European Journal of Education, 60(1), Article e70054. https://doi.org/10.1111/ejed.70054 DOI: https://doi.org/10.1111/ejed.70054

[24] Wang, C. H., Zou, B., Du, Y. R., & Wang, Z. X. (2024). The impact of different conversational generative AI chatbots on EFL learners: An analysis of willingness to communicate, foreign language speaking anxiety, and self-perceived communicative competence. System, 127, Article 103533. https://doi.org/10.1016/j.system.2024.103533 DOI: https://doi.org/10.1016/j.system.2024.103533

[25] Wang, C., & Zou, B. (2025). AI versus teachers and peers: a comparative study on speaking performance, willingness to communicate, self-perceived communicative competence and foreign language anxiety. International Review of Applied Linguistics in Language Teaching. https:// doi.org/10.1515/iral-2024-0310 DOI: https://doi.org/10.1515/iral-2024-0310

[26] Wang, Q. H., & Fang, Q. G. (2026). Friendship with human vs. AI peers: Enjoyment mediates college students’ willingness to communicate in spoken English learning. Acta Psychologica, 263, Article 106389. https://doi.org/10.1016/j.actpsy.2026.106389 DOI: https://doi.org/10.1016/j.actpsy.2026.106389

[27] Wang, Y. Q. (2023). The relationship between L2 grit and willingness to communicate: The mediating effects of foreign language enjoyment and anxiety. Modern Foreign Languages, 46, 42–55. https://doi.org/10.20071/j.cnki.xdwy.2023.01.012

[28] Xun, H., Zhou, C. Y., Li, Y. X., & Wu, Y. K. (2025). AI-supported English public speaking in the Chinese EFL context: Insights from self-regulated learning and positive psychology. Learning and Motivation, 92, Article 102211. https://doi.org/10.1016/j.lmot.2025.102211 DOI: https://doi.org/10.1016/j.lmot.2025.102211

[29] Yan, J. (2024). Effectiveness Analysis and Optimization Path of AI Tutoring Models in Foreign Language Learning Applications. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1341 DOI: https://doi.org/10.2478/amns-2024-1341

[30] Zare, M., Shooshtari, Z. G., & Jalilifar, A. (2022). The interplay of oral corrective feedback and L2 willingness to communicate across proficiency levels. Language Teaching Research, 26(6), 1158-1178, Article 1362168820928967. https://doi.org/10.1177/1362168820928967 DOI: https://doi.org/10.1177/1362168820928967

[31] Zarrinabadi, N., Ketabi, S., & Tavakoli, M. (2019). Willingness to Communicate (WTC). In N. Zarrinabadi, S. Ketabi, & M. Tavakoli (Eds.), Directed Motivational Currents in L2: Exploring the Effects on Self and Communication (pp. 19-20). Springer International Publishing. https://doi.org/10.1007/978-3-030-05472-4_2 DOI: https://doi.org/10.1007/978-3-030-05472-4

[32] Zhang, C., Meng, Y., & Ma, X. (2024). Artificial intelligence in EFL speaking: Impact on enjoyment, anxiety, and willingness to communicate. System, 121(000). DOI: https://doi.org/10.1016/j.system.2024.103259

[33] Zhang, D. Y., Wu, J. G., & Fu, Z. X. (2024). From shy to fly: Facilitating EFL learners’ willingness to communicate with an AI chatbot and an intelligent tutoring system. System, 127, Article 103501. https://doi.org/10.1016/j.system.2024.103501 DOI: https://doi.org/10.1016/j.system.2024.103501

[34] Zhang, W. R. (2026). The impact of AI chatbots on EFL learners’ oral proficiency and willingness to communicate. System, 136, Article 103919. https://doi.org/10.1016/j.system.2025.103919 DOI: https://doi.org/10.1016/j.system.2025.103919

[35] Zou, M., Reinders, H., & Amjad, F. (2026). Understanding the potential role of GenAI-mediated informal digital learning of English (GenAI-IDLE) in the Global South: AI literacy, emotions, and willingness to communicate as outcomes. ReCALL, 38(1), 131-149. https://doi.org/ 10.1017/S0958344025100360 DOI: https://doi.org/10.1017/S0958344025100360